The Family Genomics group at the Institute for Systems Biology (ISB) is collaborating on projects related to understanding the genetic basis of disease, with special emphasis on neurodegeneration. ISB is working with nearly 1000 high quality whole-genome sequence (WGS) data to analyze the data using custom workflows and Ingenuity Variant Analysis to discover disease-causing variants and learn more about the genome.

In this webinar, Dr. Glusman will go over the challenges in working with WGS technologies and analyses including false negatives and false positives. The large collection of WGS datasets allow to model systematic failures and biases. ISB creates resources to improve personal genome analyses for researchers worldwide.

About the Speaker

Gustavo Glusman is a Senior Research Scientist at the Institute for Systems Biology (WA, USA). He is currently developing data structures, algorithms, software and visualizations for analyzing whole transcriptomes and genome sequences in the context of cancer and of families affected with a variety of disease phenotypes.